{"id":"W2897172334","doi":"10.5162/imcs2018/ap4.5","title":"AP4.5 - Detecting breath and skin emitted tracers of humans with flame-made sensor arrays","year":2018,"lang":"en","type":"article","venue":"Proceedings IMCS 2018","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Materials science; Detector; Computer science; Sensor array; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004558657,0.0002339585,0.0002618763,0.0001053261,0.00008106127,0.00002747815,0.0001640491,0.0001629685,0.00001261592],"category_scores_gemma":[0.0001135044,0.0002047945,0.00002941943,0.0002946411,0.0003921318,0.000192191,0.00004405292,0.0002482178,0.000007444716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006698151,"about_ca_system_score_gemma":0.000002881809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009877232,"about_ca_topic_score_gemma":0.000004524461,"domain_scores_codex":[0.9989576,0.0000012412,0.0002252372,0.0002834487,0.0001575386,0.0003748869],"domain_scores_gemma":[0.999572,0.00003504179,0.00008561923,0.0001217819,0.0001190899,0.00006642373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002606987,0.000009747832,0.001158362,0.0001651943,0.00004411395,0.000001322196,0.001011248,0.0000408963,0.9914178,0.00008660912,0.0002717092,0.005766938],"study_design_scores_gemma":[0.000346,0.0001660431,0.0006749252,0.0001086401,0.00002984863,0.00003961835,0.001434555,0.001772622,0.9938148,0.0005639461,0.0007695258,0.0002794406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909652,0.0000975572,0.001748671,0.00003504636,0.00004459988,0.0001619071,0.000004519441,0.0009126619,0.006029765],"genre_scores_gemma":[0.9799343,0.00004129828,0.01972446,0.0000123726,0.0001241014,0.00001300266,7.290453e-7,0.0000624577,0.0000873098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797579,"threshold_uncertainty_score":0.8351278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007470131910654382,"score_gpt":0.2046974716794837,"score_spread":0.1972273397688294,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}